A novel strategy for quantitative analysis of the energy value of milk powder<i>via</i>laser-induced breakdown spectroscopy coupled with machine learning and a genetic algorithm
Yu Ding, Jing Chen, Wenjie Chen, Yufeng Wang, Linyu Yang, Zhong Wei
Abstract
The energy value of milk powder is an important indicator of its nutritional value, meaning it is of great significance to explore methods of quickly detecting this energy value.
Topics & Concepts
Laser-induced breakdown spectroscopyValue (mathematics)Energy (signal processing)SpectroscopyMeaning (existential)Genetic algorithmAlgorithmMaterials scienceAnalytical Chemistry (journal)Biological systemComputer scienceChemistryMathematicsPhysicsMachine learningStatisticsChromatographyBiologyPsychologyPsychotherapistQuantum mechanicsLaser-induced spectroscopy and plasmaSpectroscopy and Chemometric AnalysesHeavy Metals in Plants